~
0
%
Faster quarterly valuation execution
4.5-5.5 hours
Analysis time per company, down from 6-8 hours
Faster quarterly valuation execution
Analysis time per company, down from 6-8 hours
The client is a private credit firm managing a portfolio of credit investments that require recurring quarterly valuations. Its valuation process covers DCF, comparable-company, and waterfall analyses and supports management discussions and asset-pricing assessments.
Key challenges to efficient, insight-led quarterly valuations
Deal-specific valuation documentation had to be assembled before deeper analysis could begin each quarter
Valuation reports needed to be checked against the latest borrower financial packages
Current-quarter and prior-quarter reports were evaluated one at a time, making the process manual and time-consuming
Quarter-over-quarter movements in discount rates, enterprise value, and comparable companies had to be converted into clear commentary
TresVista developed AI agents using Claude Skills and Artifacts to prepare deal-specific valuation analysis documentation and answer in-chat questions across deal files in one place.
Purpose-built skills analyzed valuation reports and produced multi-tab Excel outputs covering key valuation components
Outputs captured discount-rate comparisons, enterprise-value changes, market comps, and related movements
The skill architecture aligned reports with current financial packages and routed current- and prior-quarter files automatically
One agent performed the analysis, while a second answered questions only from source documents contained in the deal files
Less preparation. Clearer commentary. More time for valuation judgment.
Before
Baseline Effort
After
Of Baseline Effort
Execution effort:
~25% Efficiency gain in execution effort
Reinvested in higher-value analytical work.
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